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Found 2 papers, 1 papers with code
Rethinking Gradient Operator for Exposing AI-enabled Face Forgeries
Moreover, MTA module considers two dimensions, namely channel and manipulation traces, to force the network to learn the distribution of manipulation traces.
Federated Ensemble Model-based Reinforcement Learning in Edge Computing
Federated learning (FL) is a privacy-preserving distributed machine learning paradigm that enables collaborative training among geographically distributed and heterogeneous devices without gathering their data.
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